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LFM3-VL-2B vs Qwen3.5-9B

Qwen3.5-9B leads the LLM Stats Score 23.9 to 15.5.

Liquid AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.5-9B leads the overall LLM Stats Score 23.9 to 15.5, ranking #200 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose LFM3-VL-2B

  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3.5-9B

  • overall performance matters — it scores 23.9 and ranks #200 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes

At a glance

The differences that matter most.

LFM3-VL-2B
Liquid AI
Qwen3.5-9B
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
15.5
#265
23.9
#200
Reasoning
16.2
#252
23.7
#194
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.15 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-VL-2B
Qwen3.5-9B
Math
19.0#187
23.8#135
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 25 for Qwen3.5-9B

No common benchmarks found

LFM3-VL-2B and Qwen3.5-9Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

7.1B diff

Qwen3.5-9B has 7.1B more parameters than LFM3-VL-2B, making it 368.8% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-9B
9.0Bparameters
1.9B
LFM3-VL-2B
9.0B
Qwen3.5-9B

Context Window

Maximum input and output token capacity

Only Qwen3.5-9B specifies input context (262,144 tokens). Only Qwen3.5-9B specifies output context (262,144 tokens).

Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.5-9B
Input262,144 tokens
Output262,144 tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both LFM3-VL-2B and Qwen3.5-9B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

LFM3-VL-2B

Text
Images
Audio
Video

Qwen3.5-9B

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while Qwen3.5-9B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

LFM3-VL-2B

LFM Open License v1.0

Open weights

Qwen3.5-9B

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Qwen3.5-9B was released on 2026-03-02.

LFM3-VL-2B is 8 months newer than Qwen3.5-9B.

LFM3-VL-2B

Oct 27, 2026

1 weeks ago

7mo newer
Qwen3.5-9B

Mar 2, 2026

8 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LFM3-VL-2B and Qwen3.5-9B side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
Qwen3.5-9B
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs Qwen3.5-9B.

Which is better, LFM3-VL-2B or Qwen3.5-9B?

Qwen3.5-9B leads the LLM Stats Score 23.9 to 15.5. LFM3-VL-2B is made by Liquid AI and Qwen3.5-9B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does LFM3-VL-2B compare to Qwen3.5-9B in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. Qwen3.5-9B scores IFEval: 91.5%, MMLU-Redux: 91.1%, C-Eval: 88.2%, MAXIFE: 83.4%, Global PIQA: 83.2%.

What are the context window sizes for LFM3-VL-2B and Qwen3.5-9B?

LFM3-VL-2B supports an unknown number of tokens and Qwen3.5-9B supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between LFM3-VL-2B and Qwen3.5-9B?

Key differences include LLM Stats Score (15.5 vs 23.9), licensing (LFM Open License v1.0 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-VL-2B and Qwen3.5-9B?

LFM3-VL-2B is developed by Liquid AI and Qwen3.5-9B is developed by Alibaba Cloud / Qwen Team.

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